Consistency for constrained maximum likelihood estimation and clustering based on mixtures of elliptically-symmetric distributions under general data generating processes

This publication has 26 references indexed in Scilit:

• Unsupervised clustering using nonparametric finite mixture models
  WIREs Computational Statistics, 2023
• Eigenvalues and constraints in mixture modeling: geometric and computational issues
  Advances in Data Analysis and Classification, 2017
• Elliptical Symmetry
  2014
• Avoiding spurious local maximizers in mixture modeling
  Statistics and Computing, 2014
• Model-based clustering and classification with non-normal mixture distributions
  Statistical Methods & Applications, 2013
• Methods for merging Gaussian mixture components
  Advances in Data Analysis and Classification, 2010
• A likelihood-based constrained algorithm for multivariate normal mixture models
  Statistical Methods & Applications, 2004
• Weak Convergence and Empirical Processes
  1996
• Comparing partitions
  Journal of Classification, 1985
• Maximum-likelihood estimation of the parameters of a multivariate normal distribution
  Linear Algebra and its Applications, 1985